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Myocardial Strain Imaging Using Feature Tracking Method of Cardiac MRI: Our Initial Experience of This Novel Parameter as an Additional Diagnostic Tool

Authors :
Priya D. Chudgar
Nitin J. Burkule
Nikhil V. Kamat
Gautam M. Rege
Mansi N. Jantre
Source :
Indian Journal of Radiology and Imaging, Vol 32, Iss 04, Pp 479-487 (2022)
Publication Year :
2022
Publisher :
Thieme Medical and Scientific Publishers Pvt. Ltd., 2022.

Abstract

Background Left ventricular ejection fraction (LVEF) is used as quantitative parameter to evaluate myocardial function. However, interobserver variation, limited reproducibility, and dependence on pre-load and after-load reduces its accuracy. The fall in LVEF occurs very late, when myocardial dysfunction is already advanced. Myocardial strain measurements (especially global longitudinal strain) is a new parameter to detect myocardial dysfunction before derangements in LVEF. The aim of this article is to share our experience of this novel diagnostic tool. Methods Feature tracking method of strain assessment is performed using routine long and short axis cine images of cardiac MRI (CMR). Dedicated post-processing CMR software can perform off-line analysis and provide results in form of color-coded maps, percentage values as well as strain over time curve for each myocardial segments. Results Global longitudinal strain (GLS) is more sensitive than LVEF and can identify sub-clinical left ventricular (LV) dysfunction in various cardiomyopathies. It is also an important prognostic marker in serial assessment of heart failure patients. Regional differences in strain parameters can provide clues in hypertrophic cardiomyopathy as well as amyloidosis. GLS is recommended as routine measurement in patients undergoing chemotherapy to detect LV dysfunction prior to fall in LVEF. Strain imaging can be applied to guide placement of the LV pacing lead in patients receiving cardiac resynchronization therapy. More clinical data is needed to evaluate its role in ischemic heart disease. Conclusion Strain imaging can identify LV dysfunction earlier than conventional methods and this opens a new perspective in risk stratification and therapeutic decision-making of various cardiac pathologies.

Details

Language :
English
ISSN :
09713026 and 19983808
Volume :
32
Issue :
04
Database :
Directory of Open Access Journals
Journal :
Indian Journal of Radiology and Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.27e36d1b46749e4a9feaf102c394189
Document Type :
article
Full Text :
https://doi.org/10.1055/s-0042-1748760